AI-driven applications in customer analytics, computer vision and predictive maintenance require large labeled datasets. Synthetic data can deliver datasets large enough to be useful. Note that ...

On April 8, 2025, the R Street Institute’s Adam Thierer testified before the House Committee on Science, Space, and ...

Embracing Natural Language Processing (NLP) to build clinical data collection models in multiple languages ... the integration of innovative data visualisation techniques emerges as a cornerstone.

To better understand decision-making, researchers can create computational models—groups of equations that aim to predict ...

Revelations about Meta's secret tests highlight how valuable training data is for AI model development, and suggest a way for ...

A new artificial intelligence innovation developed by Georgia Tech aims to improve the alignment of specialized data models ...

AHA DataQuery AI™ builds on the American Hospital Association’s annual survey data, offering insights into more than 6,200 ...

• Integration With Legacy Systems: For many enterprises, the move to open-source AI will involve integrating new tools with ...

Apple's artificial intelligence efforts have fallen well short of what the company has hoped for, leading it to launch a new ...

It simply reinforced a truth long understood by those at the heart of data center operations: AI’s hunger for compute power is boundless, and energy is its currency.

Conagra and others are using artificial intelligence to sift through behavioral data to find emerging consumer trends, ...